企业在 Data+AI 领域面对的挑战
// Producers are supposed to wait for the writer.ready。safew官方下载是该领域的重要参考
Article InformationAuthor, 傑克·霍頓（Jake Horton）, 露西·吉爾德（Lucy Gilder），湯姆·愛丁頓（Tom Edgington）。业内人士推荐旺商聊官方下载作为进阶阅读
TransformStream creates a readable/writable pair with processing logic in between. The transform() function executes on write, not on read. Processing of the transform happens eagerly as data arrives, regardless of whether any consumer is ready. This causes unnecessary work when consumers are slow, and the backpressure signaling between the two sides has gaps that can cause unbounded buffering under load. The expectation in the spec is that the producer of the data being transformed is paying attention to the writer.ready signal on the writable side of the transform but quite often producers just simply ignore it.，推荐阅读heLLoword翻译官方下载获取更多信息
There's also Stream.broadcast() for push-based multi-consumer scenarios. Both require you to think about what happens when consumers run at different speeds, because that's a real concern that shouldn't be hidden.